Using rat and mouse models of neurogenic, ethanol-induced, and indometacin-induced damage to the gastric mucosa we demonstrated that course preventive treatment with flavonoid complex from aerial parts of Lychnis chalcedonica L. increased the resistance of gastric mucosa to ulcerogenic factors of different etiology. The gastroprotective effect of the phytocomplex in a dose range of 16-1600 μg/kg was comparable with that of the reference drug plantaglucide and was superior to that of the reference drugs eleutherococcus extract and methyluracil in the therapeutic doses. The antiulcerogenic activity of Lychnis chalcedonica flavonoid complex considerably exceeded activity of Lychnis chalcedonica L. extract demonstrated in our previous experiments.In patients with moderate-to-severe and severe psoriasis and high efficacy of therapy (PASI?75) with signaling pathway inhibitors (apremilast, tofacitinib), cytokine spectra in the skin and blood plasma were studied using xMAP technology at baseline and on weeks 14 and 26 of treatment. Comparison of cytokine levels in psoriatic lesional skin and plasma samples of patients treated with apremilast or tofacitinib revealed statistical difference only for IFNγ level (р less then 0.05) at week 26.The review presents modern views about the role of oxidative stress reactions in the pathogenesis of types 1 and 2 diabetes mellitus and their complications based on the analysis of experimental and clinical studies. The sources of increased ROS generation in diabetes are specified, including the main pathways of altered glucose metabolism, oxidative damage to pancreatic β-cells, and endothelial dysfunction. https://www.selleckchem.com/MEK.html The relationship between oxidative stress, carbonyl stress, and inflammation is described. The significance of oxidative stress reactions associated with hyperglycemia is considered in the context of the "metabolic memory" phenomenon. The results of our studies demonstrated significant ethnic and age-related variability of the LPO-antioxidant defense system parameters in patients with diabetes mellitus, which should be considered during complex therapy of the disease. Numerous studies of the effectiveness of antioxidants in diabetes mellitus of both types convincingly proved that antioxidants should be a part of the therapeutic process. Modern therapeutic strategies in the treatment of diabetes mellitus are aimed at developing new methods of personalized antioxidant therapy, including ROS sources targeting combined with new ways of antioxidant delivery.Restenosis remains the main complication after percutaneous coronary interventions in patients with coronary heart disease. The causes of its development include, in particular, genetic factors. We studied polymorphic loci of genes encoding endothelin-1 (EDN1 rs5370), endothelin-1 receptor (EDNRA rs5333), endothelin-converting enzyme (ECE1 rs1076669), and endothelial NO synthase (eNOS rs1549758, eNOS rs1799983, and eNOS rs2070244) in the context of in-stent restenosis development. It was found that the analyzed polymorphisms of the endothelin system genes were more significant for patients aged ? 65 years, while the polymorphic loci of the endothelial NO synthase gene (eNOS rs1799983 and eNOS rs1549758) were predominantly associated with time of in-stent restenosis. The obtained results can be useful for comprehensive assessment of the restenosis risk factors and the choice of optimal treatment for patients with coronary heart disease before elective surgical intervention.Remotely Piloted Aerial Systems (RPAS) are poised to revolutionize healthcare in out-of-hospital settings, either from necessity or practicality, especially for remote locations. RPAS have been successfully used for surveillance, search and rescue, delivery, and equipping drones with telemedical capabilities being considered. However, we know of no previous consideration of RPAS-delivered tele-ultrasound capabilities. Of all imaging technologies, ultrasound is the most portable and capable of providing real-time point-of-care information regarding anatomy, physiology, and procedural guidance. Moreover, remotely guided ultrasound including self-performed has been a backbone of medical care on the International Space Station since construction. The TeleMentored Ultrasound Supported Medical Interventions Group of the University of Calgary partnered with the Southern Alberta Institute of Technology to demonstrate RPAS delivery of a smartphone-supported tele-ultrasound system by the SwissDrones SDO50 RPAS. Upon receipt of the sanitized probe, a completely ultrasound-naïve volunteer was guided by a remote expert located 100 km away using online video conferencing (Zoom), to conduct a self-performed lung ultrasound examination. It proved feasible for the volunteer to examine their anterior chest, sides, and lower back bilaterally, correlating with standard recommended examinations in trauma/critical care, including the critical locations of a detailed COVID-19 lung diagnosis/surveillance examination. We contend that drone-delivered telemedicine including a tele-ultrasound capability could be leveraged to enhance point-of-care diagnostic accuracy in catastrophic emergencies, and allow diagnostic capabilities to be delivered to vulnerable populations in remote locations for whom transport is impractical or undesirable, speeding response times, or obviating the risk of disease transmission depending on the circumstances.We develop and evaluate a deep learning algorithm to classify multiple catheters on neonatal chest and abdominal radiographs. A convolutional neural network (CNN) was trained using a dataset of 777 neonatal chest and abdominal radiographs, with a split of 81%-9%-10% for training-validation-testing, respectively. We employed ResNet-50 (a CNN), pre-trained on ImageNet. Ground truth labelling was limited to tagging each image to indicate the presence or absence of endotracheal tubes (ETTs), nasogastric tubes (NGTs), and umbilical arterial and venous catheters (UACs, UVCs). The dataset included 561 images containing two or more catheters, 167 images with only one, and 49 with none. Performance was measured with average precision (AP), calculated from the area under the precision-recall curve. On our test data, the algorithm achieved an overall AP (95% confidence interval) of 0.977 (0.679-0.999) for NGTs, 0.989 (0.751-1.000) for ETTs, 0.979 (0.873-0.997) for UACs, and 0.937 (0.785-0.984) for UVCs. Performance was similar for the set of 58 test images consisting of two or more catheters, with an AP of 0.